% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29789 % Primary Name: HARTSHORNE % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.85000 +/- 0.00005 % Longitude: -95.51670 +/- 0.00005 % Elevation (m): 213.36 +/- 0.15 % # of Months: 78 % % Alternate Names: Missing Station ID - 343945 % % IDs: coop - 343945 % ghcnd - USC00343945 % ncdc - 12004186 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3156f72ad24b9b075120554f16c26e55 % Raw Data Hash: e9745ace3ed4391f4cef9cc4fb2d1031 % Adj Data Hash: dc9bcf67011e9173351e7c74c0ed041e % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1898 4 NaN NaN NaN NaN NaN NaN 14.963 -1.630 1898 5 NaN NaN NaN NaN NaN NaN 21.091 0.260 1898 6 NaN NaN NaN NaN NaN NaN 25.098 -0.006 1898 7 NaN NaN NaN NaN NaN NaN 26.420 -1.278 1898 8 NaN NaN NaN NaN NaN NaN 25.894 -1.300 1898 9 NaN NaN NaN NaN NaN NaN 23.639 0.265 1898 10 NaN NaN NaN NaN NaN NaN 15.840 -1.418 1898 11 NaN NaN NaN NaN NaN NaN 8.240 -2.455 1898 12 NaN NaN NaN NaN NaN NaN 3.121 -2.983 1899 1 NaN NaN NaN NaN NaN NaN 3.197 -0.919 1899 2 NaN NaN NaN NaN NaN NaN -0.478 -7.257 1899 3 NaN NaN NaN NaN NaN NaN 9.664 -1.434 1899 4 20.015 2.467 1 0 NaN NaN 15.703 -0.890 1899 5 24.221 2.435 0 0 23.582 1.797 22.331 1.499 1899 6 26.485 0.427 0 0 25.846 -0.212 24.920 -0.184 1899 7 28.106 -0.546 0 0 27.468 -1.185 26.485 -1.214 1899 8 32.592 4.444 0 0 31.953 3.805 29.270 2.076 1899 9 NaN NaN NaN NaN NaN NaN 22.633 -0.741 1899 10 21.924 3.712 0 0 21.286 3.074 19.268 2.011 1899 11 13.712 2.063 0 0 13.073 1.424 12.142 1.448 1899 12 6.213 -0.845 0 0 5.574 -1.484 5.284 -0.820 1900 1 7.211 2.141 0 0 6.573 1.502 5.501 1.385 1900 2 6.120 -1.614 0 0 5.481 -2.253 4.644 -2.136 1900 3 12.332 0.280 0 0 11.694 -0.359 10.437 -0.661 1900 4 18.380 0.832 0 0 17.741 0.194 16.718 0.125 1900 5 21.494 -0.292 0 0 20.855 -0.931 19.916 -0.915 1900 6 26.820 0.762 0 0 26.181 0.123 25.243 0.139 1900 7 27.287 -1.366 0 0 26.649 -2.004 26.050 -1.649 1900 8 29.419 1.271 0 0 28.781 0.632 27.156 -0.038 1900 9 26.867 2.538 0 0 26.228 1.900 25.367 1.993 1900 10 20.029 1.817 0 0 19.391 1.178 18.947 1.689 1900 11 12.750 1.101 0 0 12.111 0.462 11.510 0.815 1900 12 8.779 1.721 0 0 8.141 1.082 7.200 1.096 1901 1 8.235 3.165 0 0 7.597 2.526 6.562 2.446 1901 2 5.370 -2.364 0 0 4.731 -3.003 4.436 -2.343 1901 3 10.940 -1.112 0 0 10.302 -1.751 9.962 -1.136 1901 4 14.330 -3.217 1 0 NaN NaN 14.635 -1.958 1901 5 21.776 -0.010 0 0 21.137 -0.648 19.972 -0.860 1901 6 NaN NaN NaN NaN NaN NaN 25.862 0.758 1901 7 30.582 1.929 0 0 29.944 1.291 29.000 1.301 1901 8 27.942 -0.206 0 0 27.303 -0.845 27.103 -0.091 1901 9 23.572 -0.757 0 0 22.933 -1.395 22.765 -0.609 1901 10 20.533 2.321 0 0 19.895 1.683 18.494 1.236 1901 11 12.098 0.449 0 0 11.460 -0.189 10.865 0.170 1901 12 6.561 -0.498 0 0 5.922 -1.136 4.178 -1.926 1902 1 4.598 -0.472 0 0 3.960 -1.111 2.765 -1.351 1902 2 3.191 -4.543 0 4 3.340 -4.394 2.967 -3.812 1902 3 11.917 -0.136 0 0 12.066 0.013 11.038 -0.060 1902 4 17.588 0.041 0 0 17.737 0.190 17.141 0.548 1902 5 23.126 1.340 0 0 23.275 1.489 22.081 1.250 1902 6 26.323 0.265 0 0 26.472 0.414 25.618 0.514 1902 7 26.908 -1.745 0 0 27.057 -1.596 26.146 -1.552 1902 8 29.032 0.884 0 0 29.181 1.033 27.908 0.715 1902 9 21.890 -2.439 0 0 22.039 -2.290 20.528 -2.846 1902 10 18.065 -0.147 0 0 18.214 0.002 17.048 -0.209 1902 11 14.043 2.394 0 0 14.192 2.543 13.057 2.363 1902 12 4.700 -2.358 0 0 4.849 -2.209 4.393 -1.710 1903 1 5.553 0.483 0 0 5.702 0.632 4.225 0.109 1903 2 NaN NaN NaN NaN NaN NaN 4.056 -2.724 1903 3 12.863 0.810 1 0 NaN NaN 11.028 -0.070 1903 4 17.306 -0.241 1 0 NaN NaN 16.207 -0.386 1903 5 20.029 -1.757 0 0 20.178 -1.608 18.994 -1.837 1903 6 21.455 -4.603 0 0 21.604 -4.454 21.388 -3.716 1903 7 26.881 -1.772 0 0 27.030 -1.623 26.271 -1.428 1903 8 26.925 -1.223 1 0 NaN NaN 26.214 -0.979 1903 9 21.854 -2.475 1 0 NaN NaN 21.689 -1.685 1903 10 16.463 -1.749 0 0 16.612 -1.600 15.855 -1.402 1903 11 9.925 -1.724 0 0 10.074 -1.575 8.986 -1.709 1903 12 3.858 -3.201 1 0 NaN NaN 5.111 -0.993 1904 1 4.513 -0.558 0 0 4.662 -0.409 3.195 -0.921 1904 2 8.202 0.468 0 0 8.351 0.617 7.330 0.550 1904 3 13.161 1.109 0 0 13.310 1.258 13.314 2.216 1904 4 14.872 -2.676 0 0 15.021 -2.527 14.799 -1.795 1904 5 19.905 -1.881 0 0 20.054 -1.732 19.133 -1.698 1904 6 24.333 -1.725 0 0 24.482 -1.576 23.790 -1.313 1904 7 NaN NaN NaN NaN NaN NaN 25.812 -1.887 1904 8 NaN NaN NaN NaN NaN NaN 25.814 -1.380 1904 9 25.223 0.895 0 0 25.372 1.044 24.040 0.666 1904 10 18.534 0.322 0 0 18.683 0.471 17.541 0.283 1904 11 NaN NaN NaN NaN NaN NaN 10.814 0.119 1904 12 6.959 -0.100 1 0 NaN NaN 5.558 -0.545 1905 1 0.692 -4.379 0 0 0.841 -4.230 -0.218 -4.334 1905 2 NaN NaN NaN NaN NaN NaN -0.844 -7.623 1905 3 15.092 3.039 0 0 15.241 3.188 13.663 2.565 1905 4 15.843 -1.705 1 0 NaN NaN 15.615 -0.978 1905 5 22.540 0.754 1 0 NaN NaN 21.010 0.179 1905 6 26.908 0.850 0 0 27.057 0.999 25.642 0.539 1905 7 25.565 -3.088 1 0 NaN NaN 24.646 -3.052 1905 8 NaN NaN NaN NaN NaN NaN 26.286 -0.908 1905 9 NaN NaN NaN NaN NaN NaN 23.867 0.493 1905 10 13.019 -5.193 1 0 NaN NaN 16.180 -1.077 1905 11 NaN NaN NaN NaN NaN NaN 11.529 0.835 1905 12 -0.338 -7.397 0 1 1.802 -5.256 3.328 -2.776 1906 1 NaN NaN NaN NaN NaN NaN 4.616 0.500 1906 2 3.005 -4.728 0 0 5.146 -2.588 5.206 -1.573 1906 3 4.323 -7.730 0 0 6.463 -5.590 6.554 -4.544 1906 4 NaN NaN NaN NaN NaN NaN 17.239 0.646 1906 5 NaN NaN NaN NaN NaN NaN 20.127 -0.704 1906 6 24.914 -1.144 1 0 NaN NaN 24.270 -0.834 1906 7 24.407 -4.245 0 0 26.548 -2.105 24.852 -2.846 1906 8 25.036 -3.113 0 0 27.176 -0.972 25.231 -1.963 1906 9 24.600 0.271 0 0 26.740 2.412 24.015 0.641 1906 10 13.689 -4.523 0 0 15.829 -2.383 14.605 -2.652 1906 11 NaN NaN NaN NaN NaN NaN 10.023 -0.672 1906 12 NaN NaN NaN NaN NaN NaN 8.443 2.339 1907 1 NaN NaN NaN NaN NaN NaN 8.279 4.163 1907 2 NaN NaN NaN NaN NaN NaN 7.358 0.579 1907 3 NaN NaN NaN NaN NaN NaN 16.092 4.994 1907 4 NaN NaN NaN NaN NaN NaN 13.203 -3.391 1907 5 NaN NaN NaN NaN NaN NaN 17.032 -3.799 1907 6 NaN NaN NaN NaN NaN NaN 23.886 -1.218 1907 7 NaN NaN NaN NaN NaN NaN 26.853 -0.845 1907 8 NaN NaN NaN NaN NaN NaN 27.932 0.738 1907 9 NaN NaN NaN NaN NaN NaN 24.036 0.662 1907 10 NaN NaN NaN NaN NaN NaN 16.880 -0.377